Decision Making Using Probability - Buisness Management - Lecture Slides, Slides of Business Administration

Business Management is one of the most important subject in Management Sciences but it also has its scope in engineering. Following are the key points discussed in these Lecture Slides : Decision Making Using Probability, Conditional Probability, Tree Diagrams, Optimal Decisions, Outline, Conditional Probability, Utility Companies, Forecast Periods of High Demand, General Formula, Conditional Probability

Typology: Slides

2012/2013

Uploaded on 07/29/2013

sajid
sajid 🇮🇳

4.6

(7)

128 documents

1 / 17

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
Chapter 6
Decision Making Using Probability
Docsity.com
pf3
pf4
pf5
pf8
pf9
pfa
pfd
pfe
pff

Partial preview of the text

Download Decision Making Using Probability - Buisness Management - Lecture Slides and more Slides Business Administration in PDF only on Docsity!

Chapter 6

Decision Making Using Probability

Outline

Conditional Probability

Tree Diagrams

Optimal Decisions

Conditional Probability

General formula:

P

A

B

P

A

and

B

P

B

Example

Sales of CD singles at a local outlet:

Male

Female

From this table, we can calculate

P

(Male) =

P

(Male and

P

(Male and 30

P

(Male and 50+)

and

P

(Female) =

P

(Female and

P

(Female and 30

P

(Female and 50+)

Also

P

(Male

P

(Male and 30

P

P

(^) (Female

P

(Male

and

P

Male) =

P

(Male and

P

M ale

P

Male) =

P

(Male and 30

P

M ale

P

Male) = 1

P

Male)

P

Male)

Tree Diagrams

Experiment with multiple outcomes

Represent each experiment by a circle

Branches from it represent outcomes

Each outcome has a probability associated with it

Roll

Roll Roll

SIX

NOT SIX

SIX

NOT SIX NOT SIX

1/

5/

1/

5/

5/

1/ 5/

25/

First

Second Second

5/

1/

SIX

Example

not.A machine produces components. The machine may be OK or

The components may be defective or not.

The components are tested and may be accepted or rejected.

P

(Machine OK)

P

(Component OK

Machine OK)

P

(Component OK

Machine faulty)

P

(Accept component

Component OK)

P

(Accept component

Component defective)

Example ctd

P

(accepted)

P

(defective)

×

×

P

(^) (defective and accepted)

P

(accepted

defective)

P

(defective

accepted)

P

(machine OK and accepted)

P

(machine OK

accepted)

P

(machine OK and rejected)

P

(rejected)

P

(^) (accepted) = 0

P

(machine OK

rejected)

Docsity.co

Expected Monetary Value (EMV)

For a single event

EM V

P

Event

×

Monetary value of Event

possible outcomes isThe expected monetary value of a project with several

EM V

P

(Event)

×

Monetary value of Event

where the sum is over all possible events.

Decision Trees

Likely profits:0.2, 0.35 and 0.45 respectively High, medium or low chance of success with probabilities

High

Medium

Low

Direct

Internet

Licence

What should the company do?

Plan

Internet Direct Licence

High Low Medium High

Low Medium

High Medium

Low

24.7 28

20

0.45 0.

46 −25 55 100

15 25 20

20 20